When you say you train them, do you actually fine-tune them? Give it info via RAG? Something else? This is interesting. Just curious the method you use.
LLMS
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Kimi K2 Success: Bridging AI Model Capabilities and User Experience
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The success of Kimi K2 is no accident. The unfortunate reality in AI is that user experiences haven't yet fully caught up to raw model capabilities. Experiences have plateaued. There are only so many coding assistants, research tools, or agents you can realistically offer, and
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New Coursera RAG Course: Build Production-Ready Systems
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Announcing a new Coursera course: Retrieval Augmented Generation (RAG)
— Andrew Ng (@AndrewYNg) 16 juillet 2025
You'll learn to build high performance, production-ready RAG systems in this hands-on, in-depth course created by https://t.co/R0m408f8CA and taught by @ZainHasan6, experienced AI and ML engineer, researcher,… pic.twitter.com/KZjnENFl81Announcing a new Coursera course: Retrieval Augmented Generation (RAG) You'll learn to build high performance, production-ready RAG systems in this hands-on, in-depth course created by http://
DeepLearning.AI and taught by @ZainHasan6
, experienced AI and ML engineer, researcher, -
X App Tops Japan Sales Charts After Grok 4 Launch
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Depuis grok 4, X est top 1 des ventes au japon de loin
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Mastering Prompt Engineering to Reduce AI Hallucinations
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Want to dive deeper? Check out the recent iteration I wrote about this: https://
louisbouchard.substack.com/p/prompt-engin
eering-vs-hallucinations?r=25qlky&utm_campaign=post&utm_medium=web&triedRedirect=true
… How are you leveling up your AI conversations? Drop your favorite prompt trick! -
LLMs Hallucinate: Always Verify Facts and Sources
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Watch for Hallucinations
LLMs sound confident even when wrong. When facts matter, ask for sources or verify externally. This will always remain with LLMs! -
Prompt Engineering Best Practices for Advanced Reasoning Models
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Provide Context Upfront
Newer reasoning models (e.g., OpenAI o-series) reward rich briefs: include schemas, constraints, desired format. It does not need info on "how to perform the task".
One well-structured prompt with all the details it needs > 10 back-and-forth tweaks. -
Role-Based Prompting: Instantly Transform AI Response Tone
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Set the Stage with Roles
“You are a physics teacher…” vs. “You are a stand-up comedian…” Changes tone, depth, and framing instantly. -
Chain-of-Thought Prompting: Enhance AI Reasoning Step-by-Step
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Force it to “Think”: Chain-of-Thought
Add “Let’s solve this step by step.”
Great for math, logic, or multi-part reasoning where the model tends to rush.
Or use a reasoning model if you budget/time allows for it! -
AI Product Launches, Tools, and Job Opportunities This Week
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Top stories in AI today: – Thinking Machine Labs nears product launch
– Runway's Act-Two for AI motion capture
– Automate personalized sales outreach at scale
– AI leaders unite on reasoning transparency
– 4 new AI tools & 4 job opportunities Read more: https://
therundown.ai/p/mira-muratis
-12b-startup-sets-launch-clock
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